Photoabsorption remote sensing (pars) imaging methods
US-2024255427-A1 · Aug 1, 2024 · US
US10048232B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10048232-B2 |
| Application number | US-201615380622-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 15, 2016 |
| Priority date | Sep 24, 2015 |
| Publication date | Aug 14, 2018 |
| Grant date | Aug 14, 2018 |
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A photo acoustic non-destructive measurement apparatus and method for quantitatively measuring texture of a food snack is disclosed. The apparatus includes a laser generating tool, an acoustic capturing device, and a data processing unit. The laser generating tool directs a laser towards a food snack placed on a surface and creates pressure waves that propagate through the air and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Texture of food snacks are quantitatively measured with the quantitative acoustic model.
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What is claimed is: 1. A non-destructive fingerprinting method for identifying a food product, the method comprising the steps of: a) striking the food product with a laser from a laser generator; b) generating an acoustic signal from the food product based on the striking; c) capturing the acoustic signal with an acoustic capturing device; d) forwarding the acoustic signal to a data matching unit; e) measuring a food property number of the food product with a photo acoustic model created using the forwarded acoustic signal; f) comparing the food property number with an entry in a matching table; and g) identifying the food product based on the entry in the matching table. 2. The method of claim 1 wherein the food product is a starch based food snack. 3. The method of claim 1 wherein the food product is a potato chip. 4. The method of claim 1 wherein the acoustic capturing device is configured to capture frequencies in the acoustic signal; the frequencies range from 0 to 500KHz. 5. The method of claim 1 wherein the acoustic capturing device is configured to capture energy density in the acoustic signal within a range of 15mJ/mm 2 to 700 mJ/mm 2 . 6. The method of claim 1 wherein the food property number is a texture attribute. 7. The method of claim 1 wherein the food property number is selected from a group comprising: moisture, oil content, slice thickness, brittleness, or solids content. 8. The method of claim 1 wherein the food property number is a combination of food properties comprising: moisture, oil content, slice thickness, brittleness, or solids content. 9. The method of claim 1 wherein the matching table is maintained in a database. 10. The method of claim 1 further comprises the step of differentiating similar food snacks based on subtle differences in the measured food property number of the food snacks.
using optoacoustic interaction with the material, e.g. laser radiation, photoacoustics (photoacoustic cells G01N21/1702; measuring characteristics of vibrations by using radiation-sensitive means G01H9/00; acousto-optical conversion techniques for short-range imaging G01S15/8965; sound-producing devices using laser bundle G10K15/046) · CPC title
Internal structure, e.g. defects, grain size, texture · CPC title
Biological material, e.g. blood · CPC title
Starch-containing substances, e.g. dough · CPC title
by measuring frequency or resonance of acoustic waves {(measuring frequency or resonant frequency of mechanical vibrations or acoustic waves in general G01H1/06, G01H3/04, G01H13/00; acoustic resonators G10K11/04; vibration or shock testing of structures G01M7/00)} · CPC title
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